The steps to implement multi-intelligent body collaboration using Langroid are as follows:
- Create multipleChatAgentinstances, each representing a different functional role
- Create for each intelligenceTask, defining its system messages (role descriptions) and behavioral rules
- pass (a bill or inspection etc)
add_sub_task()Methods to establish task hierarchies - set up
single_roundetc. parameters to control the interaction flow
For example, it can be constructed as: an intelligent body responsible for searching + an intelligent body that analyzes documents + an intelligent body that generates reports. The parent task will coordinate the execution order of the child tasks and realize the collaborative work through the message passing mechanism. This architecture is particularly suitable for application scenarios that require multi-step processing or simulation of multi-party interactions.
This answer comes from the articleLangroid: Easily Navigating Large Language Models with Multi-Intelligent Body ProgrammingThe
May not be reproduced without permission:AI productivity tools " How to realize multi-intelligentsia collaboration to solve complex problems?
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